/ 22.01.2026

Table of Contents
In manufacturing plants, every machine downtime translates into real costs – delivery delays, lost productivity, and often quality issues. Even with preventive maintenance, unexpected breakdowns still occur and require fast intervention.
Traditional diagnostics often rely on the experience of engineers or verbally shared knowledge within the team. Vendor documentation and past incident reports tend to be scattered, and finding them in a crisis consumes time—something that’s always in short supply during a breakdown.
Shift work further complicates things, as knowledge doesn’t always transfer seamlessly between operators and maintenance staff.
The result? Longer repair times (MTTR), lower machine availability, and rising costs for the company.

Herodotus is an intelligent assistant powered by artificial intelligence and Retrieval-Augmented Generation (RAG). It supports engineers and operators in resolving technical issues faster.
The system analyzes manufacturer documentation, failure history, technician notes, and internal safety procedures. This allows engineers to ask questions in natural language and receive precise answers based only on verified sources—minimizing the risk of AI “hallucination.”
Herodotus shortens diagnosis and repair times (MTTR – Mean Time to Repair) while extending the mean time between failures (MTBF). The result: greater equipment availability, fewer downtimes, and real savings in maintenance operations.

During the system pilot, the following results were achieved:
These numbers show that Herodotus isn’t just another theoretical tool—it’s a real, practical support system for maintenance teams.

Technicians appreciated the ability to instantly refer to past cases and proven solutions. Operators—especially those on night shifts—gained 24/7 access to expert knowledge, even when specialists weren’t on-site.
In some cases, repair times were reduced from around an hour to just a few minutes. When the system didn’t have a ready answer, it clearly stated “I don’t know,” allowing teams to consult manuals or contact OEM support promptly. This transparency made the entire incident response process faster and more efficient.
As a result, not only did the speed of troubleshooting improve, but also the sense of autonomy and confidence among production line staff.
The system is now being deployed at a larger scale across more departments, progressively expanding benefits and boosting operational efficiency.

For production and maintenance managers, Herodotus delivers:
Additionally, the system is highly flexible—it can be deployed on-premise or in the cloud (Azure, AWS, GCP), and integrated with MS Teams or other communication platforms.

Although initial implementations focused on supporting maintenance departments, Herodotus also proves valuable across other business areas:

Implementing AI solutions in manufacturing and maintenance environments requires the highest standards of data security. Herodotus is designed to ensure maximum information protection and eliminate risks associated with AI use in industrial settings.
Herodotus is developed and scaled using our proven 4D implementation framework:
This approach makes Herodotus more than a tool—it becomes a long-term partner in boosting operational efficiency.

The greatest value of Herodotus lies not only in providing rapid support during breakdowns, but also in its strategic contribution to production development. The system continuously learns from new cases and automatically updates its knowledge base. With each passing month, it becomes more effective and valuable.
Herodotus is not a one-time implementation—it grows alongside your organization. As your company evolves, you can:
If you want to see how Herodotus can improve machine reliability and reduce downtime costs in your plant, get in touch with us – we’ll show you how it works in practice.
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